The Cambridge Handbook of Computational Psychology / Edition 1

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Overview

This book is a definitive reference source for the growing, increasingly important, and interdisciplinary field of computational cognitive modeling, that is, computational psychology. It combines breadth of coverage with definitive statements by leading scientists in this field. Research in computational cognitive modeling (or, simply, computational psychology) explores the essence of cognition and various cognitive functionalities through developing detailed, process-based understanding by specifying computational mechanisms, structures, and processes. Given the complexity of the human mind and its manifestation in behavioral flexibility, process-based computational models may be necessary to explicate and elucidate the intricate details of the mind. The key to understanding cognitive processes is often in fine details. Computational models provide algorithmic specificity: detailed, exactly specified, and carefully thought-out steps, arranged in precise yet flexible sequences. These models provide both conceptual clarity and precision at the same time. This book substantiates this approach through overviews and many examples.

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Editorial Reviews

From the Publisher
"[...] This edited volume by Sun (Rensselaer Polytechnic Institute) comprises two sections:[...] The first section will attract broader interest, especially from students, because of its juxtaposition of distinct approaches including connectionist, Bayesian, and logical modeling. The second section covers a range of topics, from memory and learning to decision making and cognitive control. [...] Given that the application chapters are largely independent of the methodological chapters, a dedicated instructor could cover more extensive ground by selecting primary papers on a desired topic. However, researchers who use computational approaches, or who want to become better consumers of computational psychology literature, may find this to be a valuable compilation of major ideas in this area. Recommended.
—S.A. Huettel, Duke University CHOICE

"—With the publication of The Cambridge Handbook of Computational Psychology, the newly emerging, interdisciplinary field of computational cognitive modeling has come of age...a cutting-edge overview of classic and current work in computational psychology. This handbook stakes out this important and promising area of cognitive science...a definitive reference source for the rapidly growing, increasingly important, and strongly interdisciplinary field of computational cognitive modeling...The Cambridge Handbook of Computational Psychology represents a milestone, marking a number of important contributions to the larger field of cognitive science."
—Howard T. Everson, PsycCRITIQUES [May 20, 2009, Vol. 54, Release 20, Article 5]

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Product Details

  • ISBN-13: 9780521674102
  • Publisher: Cambridge University Press
  • Publication date: 3/31/2008
  • Series: Cambridge Handbooks in Psychology Series
  • Edition description: New Edition
  • Edition number: 1
  • Pages: 768
  • Product dimensions: 7.00 (w) x 10.00 (h) x 1.50 (d)

Meet the Author

Dr. Ron Sun is Professor of Cognitive Science at Rensselaer Polytechnic Institute. A well-known researcher in the field of cognitive science, Sun explores the fundamental structure of the human mind and aims for the synthesis of many interesting intellectual ideas into one coherent model of cognition. The goal is to form a generic cognitive architecture that captures a variety of cognitive processes in a unified way and thus to provide unified explanations for a wide range of cognitive data. To do so, for the past two decades, he has been advocating the use of hybrid connectionist-symbolic systems in developing cognitive models and he has been developing theories of human skill learning and human everyday reasoning as the centerpieces of the cognitive architecture.

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Table of Contents

1 Introduction to Computational Cognitive Modeling Ron Sun Sun, Ron

2 Connectionist Models of Cognition Michael S. C. Thomas Thomas, Michael S. C. James L. McClelland McClelland, James L.

3 Bayesian Models of Cognition Thomas L. Griffiths Griffiths, Thomas L. Charles Kemp Kemp, Charles Joshua B. Tenenbaum Tenenbaum, Joshua B.

4 Dynamical Systems Approaches to Cognition Gregor Schaner Schaner, Gregor

5 Declarative/Logic-Based Cognitive Modeling Selmer Bringsjord Bringsjord, Selmer

6 Constraints in Cognitive Architectures Niels A. Taatgen Taatgen, Niels A. John R. Anderson Anderson, John R.

7 Computational Models of Episodic Memory Kenneth A. Norman Norman, Kenneth A. Greg Detre Detre, Greg Sean M. Polyn Polyn, Sean M.

8 Computational Models of Semantic Memory Timothy T. Rogers

9 Models of Categorization John K. Kruschke Kruschke, John K.

10 Micro-Process Models of Decision Making Jerome R. Busemeyer and Joseph G. Johnson Johnson, G.

11 Models ofInductive Reasoning Evan Heit Heit, Evan

12 Mental Logic, Mental Models, and Simulations of Human Deductive Reasoning Philip N. Johnson-Laird Johnson-Laird, Philip N. Yingrui Yang Yang, Yingrui

13 Computational Models of Skill Acquisition Stellan Ohlsson Ohlsson, Stellan

14 Computational Models of Implicit Learning Axel Cleeremans Cleeremans, Axel Zolian Dienes Dienes, Zolian

15 Computational Models of Attention and Cognitive Control Nicola De Pisapia De Pisapia, Nicola Grega Repous Repous, Grega Todd S. Braver Braver, Todd S.

16 Computational Models of Developmental Psychology Thomas R. Shultz Shultz, Thomas R. Sylvain Sirois Sirois, Sylvain

17 Computational Models of Psycholinguistics Nick Chater Chater, Nick MortenH. Christiansen Christiansen, Morten H.

18 Computational Models in Personality and Social Psychology Stephen J. Read Read, Stephen J. Brian M. Monroe Monroe, Brian M.

19 Cognitive Social Simulation Ron Sun

20 Models of Scientific Explanation Paul Thagard Thagard, Paul Abninder Litt Litt, Abninder

21 Cognitive Modeling for Cognitive Engineering Wayne D. Gray Gray, Wayne D.

22 Models of Animal Learning and Their Relations to Human Learning Francisco J. Lopez Lopez, Francisco J. David R. Shanks Shanks, David R.

23 Computational Modeling of Visual Information Processing Pawan Sinha Sinha, Pawan Benjamin J. Balas Balas, Benjamin J.

24 Models of Motor Control Ferdinando A. Mussa-Ivaldi Mussa-Ivaldi, Ferdinando A. Sara A. Solla Solla, Sara A.

25 An Evaluation of Computational Modeling in Cognitive Science Margaret A. Boden Boden, Margaret A.

26 Putting the Pieces Together Again Aaron Sloman Sloman, Aaron

Index

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